Vol. 4 No. 3 (2025)
The Intelligent Methods in Engineering Sciences (Vol. 4, No. 3, 2025) presents a multidisciplinary collection of studies that demonstrate the expanding applications of intelligent systems, deep learning, and machine learning technologies in engineering and healthcare domains. This issue features innovative research on cybersecurity frameworks for FinTech mobile payment systems, deep learning-based pavement crack detection, tuberculosis diagnosis using convolutional neural networks, digital twin modeling for cryogenic ejector systems, obesity level classification through machine learning algorithms, and deep learning approaches for distinguishing real and synthetic animal images. Collectively, these contributions highlight the transformative role of artificial intelligence and computational intelligence techniques in improving security, healthcare diagnostics, infrastructure monitoring, industrial modeling, and intelligent image analysis.
Published:
2025-12-30
